Closed Eyes Detection API
SC DE VIS SOFTWARE SRL · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Closed Eyes Detection API - SnoozeDet (also known as Snooze Detection API or Snoozed Driver Detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing people with clear faces and returns a JSON string which contains a base64 encoded string photo with rectangles drawn over closed eyes of a person, confidence score, timestamp, vertices for bounding boxes of closed eyes. Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where the eyes of the persons are clear and focused. If the face is too small or blured, the accuracy is lower and the AI algorithm may not see the Face. The faces must be focalized, unobstructed, with details very clear. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher reading accuracy. It should have a format of picture similar to passport picture, varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.
Allthough this Automatic Closed Eyes Detection API (currently we do not offer a Closed Eyes Detection sdk) is intended for software development and therefore developers, we have also here an Closed Eyes Detection online application that may be used to check the input and output JSONs of the API. The necessary steps are written below, basically for this real time Closed Eyes Detection API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.
Show the rest of the publisher’s description (1 more line)
This Closed Eyes Detection API is useful for a large number of domains like apps for detecting: snoozed car drivers, snoozed plain pilots, snoozed navigators, people who may fall into sleep etc. You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.
Preview
1 imageAgent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

